Snowflake Solution Architect

{
  "content_hash": "1c7e5e88a0555ed9e20b47d2186940ad93095177c3cd7843774978074bd31c73",
  "source_hash": "ccc5316134baed81d950a1233db3e380fca860eadaf976a46c1d8410bd68cb6a",
  "last_changed_at": "2026-06-17T11:03:07.148Z",
  "active_status": "deleted"
}

{
  "language": "en",
  "location": {
    "raw": null,
    "city": null,
    "region": null,
    "country": null,
    "is_remote": false,
    "confidence": null
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-15T12:07:03.752Z",
  "launch_scope": {
    "reason": "jazzhr_production_catalog",
    "included": true,
    "location": {
      "raw": null,
      "city": null,
      "region": null,
      "country": null,
      "is_remote": false,
      "confidence": null
    },
    "countries": []
  },
  "remote_policy": null,
  "salary_period": null,
  "workplace_type": null,
  "salary_currency": null
}

{}

{
  "detail": {
    "url": "https://omegahires.applytojob.com/apply/jobs/details/QnSCbChw3r?&",
    "heading": "Snowflake Solution Architect",
    "html_title": "JazzHR » Job Listings",
    "canonical_url": "https://omegahires.applytojob.com/apply/QnSCbChw3r/Snowflake-Solution-Architect",
    "description_html": "<b>Key Responsibilities</b><p>·       Architect and implement scalable data warehouse solutions using Snowflake</p><p>·       Design end-to-end data architectures including ingestion, transformation, storage, and consumption layers</p><p>·       Develop and optimize data models (dimensional and normalized) to support analytics and reporting use cases</p><p>·       Lead integration of multiple data sources including commercial, clinical, and third-party vendor data</p><p>·       Define and implement ETL/ELT pipelines using modern tooling (e.g., DBT, Azure Data Factory, Databricks)</p><p>·       Establish data governance, security, and data quality frameworks aligned with regulatory requirements</p><p>·       Optimize Snowflake performance, cost management, and workload scaling strategies</p><p>·       Collaborate with stakeholders to define data strategy, architecture roadmaps, and platform evolution</p><p>·       Support downstream analytics, BI (e.g., Power BI), and data science initiatives</p><p>·       Provide technical leadership and mentorship to data engineering teams</p><p></p><b>Required Qualifications</b><p>·       10+ years of experience in data architecture, data warehousing, or data engineering</p><p>·       Experience in life sciences, biotech, or healthcare data (commercial, clinical, RWD, etc.)</p><p>·       3+ years of hands-on experience with Snowflake in a solution architecture role</p><p>·       Strong expertise in SQL and data modeling (dimensional modeling, data vault, etc.)</p><p>·       Experience designing and implementing cloud-based data platforms (Azure preferred, AWS acceptable)</p><p>·       Hands-on experience with modern data stack tools (DBT, Databricks, MuleSoft, etc.)</p><p>·       Experience integrating complex datasets (e.g., transactional, third-party, semi-structured data)</p><p>·       Strong understanding of data governance, data quality, and security best practices</p><p>·       Excellent communication skills with ability to interface between business and technical teams</p> <p><b>Preferred Qualifications</b></p><p>·       Familiarity with HCP/HCO, claims, Rx, or clinical trial datasets</p><p>·       Experience with MDM solutions and customer data integration</p><p>·       Knowledge of regulatory considerations (e.g., GxP, HIPAA)</p><p>·       Snowflake certifications (e.g., SnowPro Core or Advanced)</p>",
    "description_text": "Key Responsibilities ·       Architect and implement scalable data warehouse solutions using Snowflake\n ·       Design end-to-end data architectures including ingestion, transformation, storage, and consumption layers\n ·       Develop and optimize data models (dimensional and normalized) to support analytics and reporting use cases\n ·       Lead integration of multiple data sources including commercial, clinical, and third-party vendor data\n ·       Define and implement ETL/ELT pipelines using modern tooling (e.g., DBT, Azure Data Factory, Databricks)\n ·       Establish data governance, security, and data quality frameworks aligned with regulatory requirements\n ·       Optimize Snowflake performance, cost management, and workload scaling strategies\n ·       Collaborate with stakeholders to define data strategy, architecture roadmaps, and platform evolution\n ·       Support downstream analytics, BI (e.g., Power BI), and data science initiatives\n ·       Provide technical leadership and mentorship to data engineering teams\n Required Qualifications ·       10+ years of experience in data architecture, data warehousing, or data engineering\n ·       Experience in life sciences, biotech, or healthcare data (commercial, clinical, RWD, etc.)\n ·       3+ years of hands-on experience with Snowflake in a solution architecture role\n ·       Strong expertise in SQL and data modeling (dimensional modeling, data vault, etc.)\n ·       Experience designing and implementing cloud-based data platforms (Azure preferred, AWS acceptable)\n ·       Hands-on experience with modern data stack tools (DBT, Databricks, MuleSoft, etc.)\n ·       Experience integrating complex datasets (e.g., transactional, third-party, semi-structured data)\n ·       Strong understanding of data governance, data quality, and security best practices\n ·       Excellent communication skills with ability to interface between business and technical teams\n  Preferred Qualifications\n ·       Familiarity with HCP/HCO, claims, Rx, or clinical trial datasets\n ·       Experience with MDM solutions and customer data integration\n ·       Knowledge of regulatory considerations (e.g., GxP, HIPAA)\n ·       Snowflake certifications (e.g., SnowPro Core or Advanced)",
    "jsonld_jobposting": {
      "url": "https://omegahires.applytojob.com/apply/QnSCbChw3r/Snowflake-Solution-Architect",
      "@type": "JobPosting",
      "title": "Snowflake Solution Architect",
      "@context": "http://schema.org/",
      "datePosted": "2026-06-09",
      "description": "<b>Key Responsibilities</b><p>·       Architect and implement scalable data warehouse solutions using Snowflake</p><p>·       Design end-to-end data architectures including ingestion, transformation, storage, and consumption layers</p><p>·       Develop and optimize data models (dimensional and normalized) to support analytics and reporting use cases</p><p>·       Lead integration of multiple data sources including commercial, clinical, and third-party vendor data</p><p>·       Define and implement ETL/ELT pipelines using modern tooling (e.g., DBT, Azure Data Factory, Databricks)</p><p>·       Establish data governance, security, and data quality frameworks aligned with regulatory requirements</p><p>·       Optimize Snowflake performance, cost management, and workload scaling strategies</p><p>·       Collaborate with stakeholders to define data strategy, architecture roadmaps, and platform evolution</p><p>·       Support downstream analytics, BI (e.g., Power BI), and data science initiatives</p><p>·       Provide technical leadership and mentorship to data engineering teams</p><p></p><b>Required Qualifications</b><p>·       10+ years of experience in data architecture, data warehousing, or data engineering</p><p>·       Experience in life sciences, biotech, or healthcare data (commercial, clinical, RWD, etc.)</p><p>·       3+ years of hands-on experience with Snowflake in a solution architecture role</p><p>·       Strong expertise in SQL and data modeling (dimensional modeling, data vault, etc.)</p><p>·       Experience designing and implementing cloud-based data platforms (Azure preferred, AWS acceptable)</p><p>·       Hands-on experience with modern data stack tools (DBT, Databricks, MuleSoft, etc.)</p><p>·       Experience integrating complex datasets (e.g., transactional, third-party, semi-structured data)</p><p>·       Strong understanding of data governance, data quality, and security best practices</p><p>·       Excellent communication skills with ability to interface between business and technical teams</p> <p><b>Preferred Qualifications</b></p><p>·       Familiarity with HCP/HCO, claims, Rx, or clinical trial datasets</p><p>·       Experience with MDM solutions and customer data integration</p><p>·       Knowledge of regulatory considerations (e.g., GxP, HIPAA)</p><p>·       Snowflake certifications (e.g., SnowPro Core or Advanced)</p>",
      "jobLocation": {
        "@type": "Place",
        "address": {
          "@type": "PostalAddress",
          "postalCode": "",
          "addressRegion": "",
          "addressLocality": ""
        }
      },
      "validThrough": "2026-09-07",
      "uniqueJobCode": "job_20260609192529_5DDKOL4MMCQBNWJZ",
      "employmentType": "CONTRACTOR",
      "jobLocationType": "TELECOMMUTE",
      "hiringOrganization": {
        "logo": "https://s3.amazonaws.com/resumator/customer_20200406171600_RFR9XMQAVFWTDEPV/logos/20200409191136_Omega-Hires-logo_final_1.png",
        "name": "OmegaHires",
        "@type": "Organization",
        "sameAs": "http://omegahires.com"
      },
      "experienceRequirements": "Experienced",
      "applicantLocationRequirements": {
        "name": "US",
        "@type": "Country"
      }
    }
  },
  "list_job": {
    "id": "QnSCbChw3r",
    "title": "Snowflake Solution Architect",
    "detailUrl": "https://omegahires.applytojob.com/apply/jobs/details/QnSCbChw3r?&"
  },
  "detail_errors": []
}